commit | dc13622f9aed080eb7096e0833925ce65d5d54ee | [log] [tgz] |
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author | rsuderman <rob.suderman@gmail.com> | Thu Sep 23 09:59:57 2021 -0700 |
committer | GitHub <noreply@github.com> | Thu Sep 23 09:59:57 2021 -0700 |
tree | 902d02e104b04cf6cc30418843c8162b76ec1c96 | |
parent | 6bcc29f4ee6a371b7c7b98ea408590ef1bb7ddfc [diff] | |
parent | 2e8546d04aaf6782d27ca90b1af11e77f943895d [diff] |
Merge google -> main #7136 2e8546d Synchronize submodules with LLVM at llvm/llvm-project@f5b8f12 29317b6 Merge pull request Merge main -> google #7131 from rsuderman:main-to-google a317e2c Move quantized type stripping to a separate pass. 87e6ba5 Migrate ScatterDimensionNumbers attribute definition from StructAttr to be a.. 1d77498 Synchronize submodules with LLVM at llvm/llvm-project@f5b8f12
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
See our website for project details, user guides, and instructions on building from source.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.